CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays
Nuowei Liu, Xinhao Chen, Hongyi Wu, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaopeng Bai, Shaoguang Mao, Yan Xia
- Anthology ID:
- 2024.findings-emnlp.395
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6744–6759
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.395/
- DOI:
- 10.18653/v1/2024.findings-emnlp.395
- Cite (ACL):
- Nuowei Liu, Xinhao Chen, Hongyi Wu, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaopeng Bai, Shaoguang Mao, and Yan Xia. 2024. CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 6744–6759, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays (Liu et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.395.pdf